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General course information is here. |
The teaching schedule is as follows.
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Lectures | every Tuesday and Friday, 11 am - 1 pm, from 3 October to 12 December
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Review Sessions | every Friday, 1 pm - 2 pm
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Venue | Gatsby Unit room 409, 4th floor Alexandra House, 17 Queen Square London WC1N 3AR |
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The main course book is
Theoretical Neuroscience by Dayan and Abbott. The appendix
of the book describes the maths needed for the course. If you need to brush up on mathematics, one recommended book is Riley,
Hobson and Bence: Mathematical Methods for Physicists. For a very simple intro to first order ODE's, see Hugh Wilson: spikes,
decisions and actions, chapters 1 and 2. A few very useful cribsheets are
basic maths you'll need for this course, and some matrix identities.
You might also be interested in the Gatsby neuroscience journal club.
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Below is a schedule of the review sessions (updated before every review session). The homework assignments can be downloaded from here. The section "reading" lists background reading material and is (usually) not meant as compulsory.
Date | | Reading | Assignment |
13-10 | review session 1 biophysics Hodgkin & Huxley etc |
Dayan and Abbott, chapter 5 Hodgkin & Huxley, '52 (the pioneering paper on channel modeling) lecture slides |
homework 1 |
27-10 | review session 2 biophysics cable equation, synapses |
Dayan and Abbott, chapter 6 for the keen: Koch (1999) ch. 2-5 |
homework 2 hwk2data.mat |
03-11 | review session 3 neural encoding |
lecture slides (1) lecture slides (2) Dayan and Abbott, chapters 1-2 |
homework 3 |
10-11 | review session 4 neural decoding |
lecture slides Dayan and Abbott, chapter 3
Population codes |
homework 4 |
17-11 | review session 5 information theory |
Dayan and Abbott, chapter 4 lecture slides |
homework 5 |
24-11 | review session 6 dynamics |
Dayan and Abbott, chapter 7
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homework 6 |
01-12 | review session 7 dynamics and vision |
Dayan and Abbott, chapter 7 Theoretical understanding of the early visual processes |
homework 7 |
08-12 | review session 8 Hebbian learning and vision |
Dayan and Abbott, chapter 8 lecture slides 1 (Hebbian learning)
lecture slides 2 (vision)
lecture slides 3 (vision)
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homework 8 |
15-12 | review session 9 reinforcement learning |
Dayan and Abbott, chapter 9 lecture slides (1)
lecture slides (2)
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homework 9 |
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